most citedTowards Unifying Anatomy Segmentation: Automated Generation of a Full-body CT Dataset via Knowledge Aggregation and Anatomical Guidelines

3 citations · 3 across the 1 of their papers we have counts for

collaborators

1 paper

eess.IV2023★ 3 cited

Towards Unifying Anatomy Segmentation: Automated Generation of a Full-body CT Dataset via Knowledge Aggregation and Anatomical Guidelines

Alexander Jaus, Constantin Seibold, Kelsey Hermann +5

In this study, we present a method for generating automated anatomy segmentation datasets using a sequential process that involves nnU-Net-based pseudo-labeling and anatomy-guided…